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An JDBC datasource implementation.
select *
from (select i_category,
i_class,
i_brand,
s_store_name,
s_company_name,
d_moy,
sum(ss_sales_price) sum_sales,
avg(sum(ss_sales_price)) over (partition by i_category, i_brand, s_store_name, s_company_name)
avg_monthly_sales
from item,
store_sales,
date_dim,
store
where ss_item_sk = i_item_sk
and ss_sold_date_sk = d_date_sk
and ss_store_sk = s_store_sk
and d_year in (1999)
and ((i_category in ('Books', 'Electronics', 'Sports') and
i_class in ('computers', 'stereo', 'football')
)
or (i_category in ('Men', 'Jewelry', 'Women') and
i_class in ('shirts', 'birdal', 'dresses')
))
group by i_category, i_class, i_brand,
s_store_name, s_company_name, d_moy) tmp1
where case when (avg_monthly_sales <> 0) then (abs(sum_sales - avg_monthly_sales) / avg_monthly_sales) else null end >
0.1
order by sum_sales - avg_monthly_sales, s_store_name limit 100